Ilyes D.

Creation of an AI inventory management interface for an SME (air conditioning / heating sector)

Objective: to modernize and automate inventory management for an SME specializing in air conditioning, in order to eliminate human errors, speed up operations, and provide real-time visibility to sales and technical teams.

What I did:

- Design of a complete and secure inventory management interface.

- Visual dashboard with histograms, stock levels, consumption trends, and tracking of inflows/outflows.

- Automation of stock updates: as soon as an invoice or a service order is created, the stock is updated automatically.

- Intelligent detection of low stock: instant alerts sent to the team (email / Slack) thanks to dynamic thresholds.

- Simplified form system for sales representatives to add or remove stock in seconds.

- AI optimization to predict stockout risks based on seasonality and past sales (beta).

Results:

- Real-time stock visibility for the entire team.

- +40% reduction in time spent managing stock manually.

- Zero data entry errors in daily operations.

AI Automation for Ticket Management & CRM Integration

Implementation of complete automation for incoming ticket management (email / form) with direct CRM connection.

For each new ticket, the workflow automatically identifies the customer, checks if a ticket is already open, and then opens a new ticket if necessary. An automatic response is sent to the customer to confirm that their request has been received.

In case of an existing ticket, the AI analyzes the message to determine if it's the same issue, assesses the urgency level, and triggers escalation if needed.

The support team is notified in real-time and receives a clear summary of the actions taken.

Result: massive reduction in manual work, better prioritization of requests, and faster processing for customers.

Optimization of After-Sales Support & Creation of an AI Chatbot – E-commerce Site

Implementation of complete automation for the customer support of an e-commerce site.

For each email received, an AI agent analyzes the request, automatically checks the delivery status in the logistics system, and prepares a personalized response (delay, package delivered, tracking number, etc.). Human support is only involved for complex cases.

In parallel, creation and deployment of an AI chatbot directly on the website, capable of answering customer questions (products, delivery times, returns, tracking, sizes, shipping policies…), significantly reducing the support workload.

Result: decrease in ticket volume, faster responses, improved customer satisfaction, and largely automated after-sales support.